Truth before comfort.
If the evidence doesn’t hold, we say so.
A comfortable answer can be expensive. We’d rather name the problem early, show what the evidence says and make the uncertainty visible.
About WIZIUM
WIZIUM brings AI agents, specialists and business memory into one operating environment for e-commerce.
We’re building infrastructure that helps smaller teams do more, with the work visible and the decisions in their hands.
WIZIUM combines the power of AI agents with human expertise in one intelligent operating environment built for the full multichannel commerce journey.
At its core is connected business memory — a second brain for every product, project and business. It keeps data, decisions, workflows, tools, communication and execution connected in one living context.
WIZIUM helps brands, sellers and agencies launch, run and grow across marketplaces and online stores today — while building the operating model for the era of Agentic Commerce. We welcome conversations with technology and data providers, commerce operators, industry experts and media covering the shift to Agentic Commerce.
CONTACT WIZIUMHow we build
Good technology should make the work easier to see, move and trust — not add another system to manage.
Clear ownership. Evidence you can question. Business decisions stay with the people who own the consequences.
If the evidence doesn’t hold, we say so.
A comfortable answer can be expensive. We’d rather name the problem early, show what the evidence says and make the uncertainty visible.
Useful support leaves the next step closer to completion.
A calculation checked, an option narrowed, a supplier assessed or a decision ready to make. The value should be visible in the work.
The business decision stays with the person who owns the consequences.
Agents can research, calculate and prepare. Specialists can inspect, negotiate and execute. The environment can keep the work moving.
Trust grows when people can examine the basis for a recommendation.
Keep the inputs, sources and assumptions with the decision. Make it clear what is known and what still needs checking.
The context shouldn’t disappear when the business changes.
The history stays with the work, so the next person doesn’t have to rebuild it from messages, files and memory.
Commerce. Product. AI.
Serial entrepreneur who founded and exited IT-Box, then built a digital business at Noventiq. He grew its team from zero to 70 specialists, launched five products and expanded into Dubai and Spain. His experience spans AI, retail, manufacturing and logistics.

Former Senior ML Engineer at Meta and founder of AiLine, an industrial digital twin platform. With 15 years in software, seven in machine learning and a PhD in mathematical modeling, Nick has taken nine ML solutions into production. His work spans forecasting, anomaly detection and industrial AI.

An Amazon US seller since 2018 and an entrepreneur across retail and product businesses. Yevhen brings firsthand experience in sourcing, advertising, inventory and marketplace operations, alongside a background in QA automation. He understands both the commercial decisions and the systems needed to carry them through.

Ilia spent more than a decade in FMCG and fashion retail, progressing from warehouse and store operations to managing a group of stores. He later led digital products for on-shelf availability, retail analytics and retail media, combining operating experience with more than five years in product management.

Anna brings 15+ years in technology marketing, international consulting and digital product launches. Based in Israel, she has worked across cybersecurity, IT and startup growth, including IDC’s Beyond Global Challenges initiative. She has applied AI in marketing since 2021 and now leads WIZIUM’s brand, go-to-market strategy and Research Lab.

Lead full-stack developer building scalable web products across fintech, AI, health analytics and cloud storage. Denys works end to end — from real-time interfaces, performance and mobile experiences to the services behind them — and is pursuing graduate studies in AI and machine learning. As COO he also runs WIZIUM's day-to-day operations, keeping engineering, delivery and priorities on one plan.

A Data Science student at NOVA IMS in Lisbon and former Junior Data Scientist at Noventiq. Vladislav combines machine learning with hands-on product experimentation. His startup work includes a prize-winning university project featured on Portuguese national television.

With a Data Science background at NOVA IMS, Viktoriya works across machine learning, forecasting, databases and visualization. Her projects include surf-school booking and wellbeing applications. She also brings experience teaching mathematics and building startup communities, connecting analytical work with how people learn and use products.

Kamilla has five years of experience launching products and coordinating cross-functional teams at Softline. With a background in international trade, product management and Scrum, she connects delivery planning, interface design and process improvement to help teams move work forward with clarity.

Backend developer with more than six years of experience in Python, microservices and product architecture. Artem has modernized legacy systems, built integrations and helped teams deliver new products. At WIZIUM, he develops the architecture and services that connect the platform’s capabilities.

A Data Science Master’s student at NOVA IMS and former Noventiq Software Engineer, Arsenii holds a scholarship for academic excellence. His focus is advancing practical AI and machine learning research to build autonomous systems and intelligent automations that solve real-world business problems.
Tell us what your team needs. We’ll follow up to discuss the right next step.